Bodennahes Ozon: Trends in Bayern

Long-term ground-based measurements of ozone in Bavaria (Germany) are evaluated in respect of their trend during the last 20 years. First a method is described to characterize the measuring-sites in relation to the levels of precursors: The derived division in three classes proved its worth interpreting the results. Following, the trend of ozone-concentration are calculated by linear regression analysis and are tested in respect of their significance. Generally the Bavarian results fit in the trends of a long-term increase of ozone-concentrations observed at several central European stations. In detail, there are differences between stations situated at elevated sites or at other sites without traffic (class I) and stations situated at sites with significant influence of nearby traffic (classes II and III). At stations of class I an increase of ozone until the mid 80’s is recorded. Afterwards this trend seems to be stopped. But at the stations of classes II and III an increase of ozone is occuring only since the mid 80’s. The observed trends are correlated with the trends of NO_x-emissions.     

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MODELING TIDAL HYDRODYNAMICS OF SAN DIEGO BAY,CALIFORNIA1

ABSTRACT: In 1983, current data were collected by the National Oceanic and Atmospheric Administration using mechanical current meters. During 1992 through 1996, acoustic Doppler current profilers as well as mechanical current meters and tide gauges were used. These measurements not only document tides and tidal currents in San Diego Bay, but also provide independent data sets for model calibration and verification. A high resolution (100-m grid), depth-averaged, numerical hydrodynamic model has been implemented for San Diego Bay to describe essential tidal hydrodynamic processes in the bay. The model is calibrated using the 1983 data set and verified using the more recent 1992–1996 data. Discrepancies between model predictions and field data in both model calibration and verification are on the order of the magnitude of uncertainties in the field data. The calibrated and verified numerical model has been used to quantify residence time and dilution and flushing of contaminant effluent into San Diego Bay. Furthermore, the numerical model has become an important research tool in ongoing hydrodynamic and water quality studies and in guiding future field data collection programs.     

Predatory behavior of Polybia sericea (Olivier), a tropical social wasp (Hymenoptera: Vespidae)

Summary Polybia sericea (Olivier) (Hymenoptera: Vespidae) foragers were trained to visit experimental foraging plots and tests were conducted to determine the role of visual, olfactory, and chemotactile cues in prey location. Foragers approached prey from downwind and hovered downwind of visual and olfactory stimuli. Olfactory cues were more likely to elicit landing than were visual cues. Biting of potential prey was most consistently elicited by a combination of visual, tactile, and chemotactile cues. Foragers encountering large prey carried a piece back to the nest and returned for prey remains. These returning foragers used visual cues to direct intensive aerial search; olfactory prey cues elicited landing.     

A Method for Assessing Hydrologic Alteration within Ecosystems

Hydrologic regimes play a major role in determining the biotic composition, structure, and function of aquatic, wetland, and riparian ecosystems. But human land and water uses are substantially altering hydrologic regimes around the world. Improved quantitative evaluations of human-induced hydrologic changes are needed to advance research on the biotic implications of hydrologic alteration and to support ecosystem management and restoration plans. We propose a method for assessing the degree of hydrologic alteration attributable to human influence within an ecosystem. This method, referred to as the "Indicators of Hydrologic Alteration," is based upon an analysis of hydrologic data available either from existing measurement points within an ecosystem (such as at stream gauges or wells) or model-generated data. We use 32 parameters, organized into five groups, to statistically characterize hydrologic variation within each year. These 32 parameters provide information on ecologically significant features of surface and ground water regimes influencing aquatic, wetland, and riparian ecosystems. We then assess the hydrologic perturbations associated with activities such as dam operations, flow diversion, groundwater pumping, or intensive land-use conversion by comparing measures of central tendency and dispersion for each parameter between user-defined "pre-impact" and "post-impact" time frames, generating 64 Indicators of Hydrologic Alteration. This method is intended for use with other ecosystem metrics in inventories of ecosystem integrity, in planning ecosystem management activities, and in setting and measuring progress toward conservation or restoration goals.